Evidence map›Paper›PMID 37729409›Full record

ArticleScience advances2023

Optical force brush enabled free-space painting of 4D functional structures.

Chenqi Yi, Shuyuan Qu, Yaoyu Wang, Haoning Qi, Yufeng Zhang, Gary J Cheng

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chenqi YiInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-1132-8303
Shuyuan QuState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Taikang Center for Life and Medical Sciences, Medical Research Institute, School of Medicine, Wuhan University, Wuhan 430079, China.ORCID 0009-0000-4031-5021
Yaoyu WangInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0009-0008-4316-233X
Haoning QiState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Taikang Center for Life and Medical Sciences, Medical Research Institute, School of Medicine, Wuhan University, Wuhan 430079, China.
Yufeng ZhangState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Taikang Center for Life and Medical Sciences, Medical Research Institute, School of Medicine, Wuhan University, Wuhan 430079, China.ORCID 0000-0001-8702-5291
Gary J ChengInstitute of Technological Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-1184-2946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Femtosecond laser-based technique called two-photon polymerization (TPP) has emerged as a powerful tool for nanofabrication and integrating nanomaterials. However, challenges persist in existing three-dimensional (3D) nanoprinting methods, such as slow layer-by-layer printing and limited material options due to laser-matter interactions. Here, we present an approach to 3D nanoprinting called free-space nanopainting, using an optical force brush (OFB). OFB enables precise spatial writing paths, instantaneous adjustment of linewidths and concentrations, and unrestricted resolution beyond optical limits. OFB allows rapid aggregation and solidification of radicals, resulting in narrower lines at lower polymerization thresholds and enhanced sensitivity to laser energy. This advancement enables high-accuracy free-space painting, analogous to Chinese brush painting on paper. The printing speed is increased substantially compared to layer-by-layer methods, from 100 to 1000 times faster. We successfully printed various bionic muscle models derived from 4D nanostructures with tunable mechanical properties, responsive to electrical signals, and excellent biocompatibility.

Identifiers

PMID37729409
PMCPMC10511190

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.